17 results for "Deepak Kumar"
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Carbon Quantum Dots: Synthesis, Structure, Properties, and Catalytic Applications for Organic Synthesis
Carbon quantum dots (CQDs), also known as carbon dots (CDs), are novel zero-dimensional fluorescent carbon-based nanomaterials. CQDs have attracted enormous attention around the world because of their excellent optical properties as well as water solubility, biocompatibility, low toxicity…
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Molecular docking, validation, dynamics simulations, and pharmacokinetic prediction of natural compounds against the SARS-CoV-2 main-protease
The study aims to evaluate the potency of two hundred natural antiviral phytocompounds against the active site of the Severe Acquired Respiratory Syndrome - Coronavirus − 2 (SARS-CoV-2) Main-Protease (Mpro) using AutoDock 4.2.6. The three- dimensional crystal structure of the Mpro (PDB Id: 6LU7)…
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Strategies of pretreatment of feedstocks for optimized bioethanol production: distinct and integrated approaches
Abstract Bioethanol is recognized as a valuable substitute for renewable energy sources to meet the fuel and energy demand of the nation, considered an environmentally friendly resource obtained from agricultural residues such as sugarcane bagasse, rice straw, husk, wheat straw and corn stover. The…
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Knowledge and Perceptions of COVID-19 Among Health Care Workers: Cross-Sectional Study
BACKGROUND: During the first week of March, the coronavirus disease 2019 (COVID-19) outbreak reached more than 100 countries with over 100,000 cases. Health care authorities have already initiated awareness and preparedness activities worldwide. A poor understanding of the disease among health care…
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CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection
Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect on the global economy and health. A positive chest X-ray of infected patients is a crucial step in the battle against COVID-19…
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Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems
The recent advancements in Internet of Things (IoT), cloud computing, and Artificial Intelligence (AI) transformed the conventional healthcare system into smart healthcare. By incorporating key technologies such as IoT and AI, medical services can be improved. The convergence of IoT and AI offers…
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Optimal Feature Selection-Based Medical Image Classification Using Deep Learning Model in Internet of Medical Things
Internet of Medical Things (IoMT) is the collection of medical devices and related applications which link the healthcare IT systems through online computer networks. In the field of diagnosis, medical image classification plays an important role in prediction and early diagnosis of critical…
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Multifaceted role of mTOR (mammalian target of rapamycin) signaling pathway in human health and disease
The mammalian target of rapamycin (mTOR) is a protein kinase that controls cellular metabolism, catabolism, immune responses, autophagy, survival, proliferation, and migration, to maintain cellular homeostasis. The mTOR signaling cascade consists of two distinct multi-subunit complexes named mTOR…
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Blockchain and artificial intelligence technology in e-Health
Blockchain and artificial intelligence technologies are novel innovations in healthcare sector. Data on healthcare indices are collected from data published on Web of Sciences and other Google survey from various governing bodies. In this review, we focused on various aspects of blockchain and…
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A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
Pneumonia is among the top diseases which cause most of the deaths all over the world. Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the pneumonia just by looking at chest X-rays. The aim of this study is to simplify the pneumonia detection process for experts…
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Approaches for Long Lifetime Organic Light Emitting Diodes
Organic light emitting diodes (OLEDs) have been well known for their potential usage in the lighting and display industry. The device efficiency and lifetime have improved considerably in the last three decades. However, for commercial applications, operational lifetime still lies as one of the…
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Nitrogen Containing Heterocycles as Anticancer Agents: A Medicinal Chemistry Perspective
Cancer is one of the major healthcare challenges across the globe. Several anticancer drugs are available on the market but they either lack specificity or have poor safety, severe side effects, and suffer from resistance. So, there is a dire need to develop safer and target-specific anticancer…
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Microfluidic chips: recent advances, critical strategies in design, applications and future perspectives
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Traumatic brain injury: progress and challenges in prevention, clinical care, and research
This Commission covers a range of topics that need to be addressed to confront the global burden of TBI and reduce its effects on individuals and society: epidemiology (section 1); health economics (section 2); prevention (section 3); systems of care (section 4); clinical management (section 5)…